Latest AI and machine learning research in brain cancer for healthcare professionals.
Detecting brain tumors early on is critical for effective treatment and life-saving efforts. The ana...
OBJECTIVE: Glioblastoma (GBM), one of the most common brain tumors, is known for its low survival ra...
Environmental complaints serve as a crucial means for citizens to participate in environmental regul...
PURPOSE: To evaluate the value of pre-treatment MRI-based radiomics in patients with hepatocellular ...
BACKGROUND: Glioma is a highly heterogeneous and poorly immunogenic malignant tumor, with limited ef...
PURPOSE: We propose a tumor tracking framework for 2D cine magnetic resonance imaging (MRI) based on...
Primary Central Nervous System tumors in the brain are among the most aggressive diseases affecting ...
The SINFONIA project's main objective is to develop novel methodologies and tools that will provide ...
Glioblastoma multiforme (GBM) is one of the most common and aggressive type of malignant glioma with...
INTRODUCTION: Artificial intelligence has permeated all aspects of our existence, and medical imagin...
INTRODUCTION: - Accurate detection, segmentation, and volumetric analysis of brain lesions are essen...
OBJECTIVES: To evaluate the value of a magnetic resonance imaging (MRI)-based deep learning radiomic...
Radiation dose and image quality in radiology are influenced by the X-ray prime factors: KVp, mAs, a...
INTRODUCTION: Skin cancer, a prevalent cancer type among fair-skinned patients globally, poses a rel...
BACKGROUND: Despite advances in neuro-oncology, treatments of glioma and tools for predicting the ou...
Breast cancer is a prominent cause of death among women worldwide. Infrared thermography, due to its...
PURPOSE: Magnetic resonance (MR)-guided radiation therapy enables online adaptation to address intra...
BACKGROUND AND PURPOSE: Radiotherapy (RT) in non-small cell lung cancer (NSCLC) can induce cardiac a...
Magnetic Resonance Spectroscopic Imaging (MRSI) is a non-invasive imaging technique for studying met...
Diagnosing and classifying central nervous system tumors such as gliomas or glioblastomas pose a sig...
OBJECTIVE: Develop a time-dependent deep learning model to accurately predict the prognosis of pedia...